{"id":"W4389127374","doi":"10.5151/2594-5327-15192","title":"APLICAÇÃO PRÁTICA DE REDES NEURAIS ARTIFICIAIS NO DESENVOLVIMENTO E ADEQUAÇÃO DE AÇOS LAMINADOS A QUENTE NA USIMINAS CUBATÃO","year":2009,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000616921,0.0004698517,0.0003276724,0.0002962694,0.0003287331,0.001363572,0.000578233,0.0005820847,0.002602306],"category_scores_gemma":[0.001392129,0.0003743159,0.0003830299,0.0002590424,0.0004831492,0.001164874,0.0006830196,0.0004582832,0.0006673415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006795935,"about_ca_system_score_gemma":0.0005030499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325305,"about_ca_topic_score_gemma":0.001640385,"domain_scores_codex":[0.9997268,0.00004521368,0.0000211928,0.00006501128,0.0001099385,0.00003186506],"domain_scores_gemma":[0.9994007,0.0002082908,0.00008039642,0.0001146068,0.0001674034,0.0000286041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003011792,0.0001098015,0.002657817,0.000391231,0.00004354148,0.0002234928,0.0004541585,0.07443739,0.7587964,0.006950865,0.001066628,0.1545675],"study_design_scores_gemma":[0.00004361763,0.0006581593,0.005066881,0.00005517163,0.00006412227,0.0003632982,0.0003608287,0.4400883,0.5223705,0.004404018,0.02645388,0.00007118472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5470182,0.001539025,0.4315441,0.000670911,0.0002562935,0.000143028,0.0001716675,0.001859103,0.01679762],"genre_scores_gemma":[0.9327207,0.0004923515,0.05852062,0.00006185724,0.00001444643,0.00005928981,0.00005206354,0.00008643069,0.007992241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002602306,"threshold_uncertainty_score":0.008705616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557928770700972,"score_gpt":0.2490236913141209,"score_spread":0.2334444036071112,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}